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neuroimaging data (EEG, fNIRS, fMRI) to calibrate and validate models, enhancing the interpretation of neural and vascular dynamics. collaborating with international partners and contributing to simulation and
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organic molecules in astrophysical environments—from cold interstellar ices to the early stages of planetary systems. The successful candidate will contribute to experimental studies simulating interstellar
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contribute to various aspects of the project, such as: - developing new theoretical approaches to model electrode/electrolyte interfaces - performing molecular simulations, such as molecular dynamics
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strongly polar and magnetic molecules in optical tweezers and lattices to realize a new generation of ultracold molecular qubits and two-qubit quantum gates. In the first stage, we will thoroughly
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 12 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The research position(s) are within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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accessible observables in attoscience. The postdoctoral researcher will carry out methodological developments and advanced numerical simulations to explore these ultrafast dynamics in exotic systems. -Develop
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proteins in lipid droplets; (2) development and maintenance of the POP_MD code for non-equilibrium molecular dynamics simulations of biological systems. The successful candidate will be responsible
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must have a Ph.D. in Chemistry, Physics, or related field, with extensive experience in the application of molecular dynamics simulations to molecular systems, ideally in both methods and applications
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located on the CNRS campus in Marseille. They will be part of the Biophysics of Metalloproteins and Dynamic Systems team, which is particularly recognized for its work on metalloproteins using EPR